Assessment of Resume through Predictive Analytics

Abstract

Human resource predictive analytics is an emerging application field of analytics for Human Resource Management purposes. The paper sheds light on a novel technique that evaluates the resume by processing big data and generating remarks and score of the Resume. The aim of this research paper is to develop an algorithmic approach to measure candidate’s past performance and engagement, analyze employee salary and modeling employee lifetime value for the organization. The paper discusses easy ways to grasp the big data associated with resume. The resume assessment technique can be used for organizations through decision making based on big data collection and predictive algorithm. The paper first discusses the concept of HR predictive analytics for HRM and then an algorithm using Ms-excel and R Programming.